Conditional Random Fields as Recurrent Neural Networks.
Shuai ZhengSadeep JayasumanaBernardino Romera-ParedesVibhav VineetZhizhong SuDalong DuChang HuangPhilip H. S. TorrPublished in: ICCV (2015)
Keyphrases
- conditional random fields
- recurrent neural networks
- neural network
- hidden markov models
- feed forward
- graphical models
- probabilistic model
- random fields
- higher order
- reservoir computing
- crf model
- markov random field
- maximum entropy
- recurrent networks
- information extraction
- artificial neural networks
- sequence labeling
- named entity recognition
- generative model
- structured prediction
- structured learning
- pairwise
- echo state networks
- approximate inference
- segmentation method
- response time
- expectation maximization
- protein fold recognition
- nonlinear dynamic systems
- web documents